EKF based Vector Delay Lock Loop algorithm for GPS signal tracking
ICCDA), 2010 International Conference(2010)
摘要
This paper analyzes a system model for Vector Delay Lock Loop (VDLL) algorithm based on Extended Kalman Filtering (EKF) for GPS signal tracking. In the VDLL, all the code tracking loops are closed by the navigation solutions estimated by EKF, and the tracking performance is more robust than that of the traditional scalar delay lock loop (SDLL). Firstly, we illustrate the essential difference between SDLL and VDLL. Secondly, aiming at the condition in which the code phase spacing between the early and the late replica code is not 1 chip exactly, we establish the non-linear system model for VDLL, and give the equation between the system measurement and the estimated error of transmission delay. Moreover, we derive the equation for the measurement noise variance. Then, this paper linearizes the non-linear model, and gives the multi-satellite VDLL algorithm using EKF. Lastly, the effectiveness of the model is validated by simulation.
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关键词
global positioning system,kalman filters,delay lock loops,satellite tracking,target tracking,ekf,gps signal tracking,code phase spacing,code tracking loops,extended kalman filtering,measurement noise variance,multisatellite vdll algorithm,navigation solutions,scalar delay lock loop,transmission delay,vector delay lock loop algorithm,gps signal,vdll,system model,tracking,nonlinear equations,algorithm design and analysis,noise,system modeling,navigation,phase space,extended kalman filter,delay lock loop,chip,signal analysis
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